Machine Learning /MLOps Engineer
Salary undisclosed
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Preferred Skills & Qualifications:
- Minimum of 8 years data Engineering experience including 3 years of MLOps experience.
- Experience in requirement gathering, analysis and solution design.
- Proficient in Python and strong in SQL.
- Experience in data and ML pipeline implementation using Python/R/SQL/Docker/Kubernetes/Domino Data Lab .
- Experience in Snowflake, AWS, and Kafka.
- Experience in Scheduling tools like Control-M and Airflow.
- Experience in Agile development methodologies.
- Deep knowledge of math, probability, statistics, and algorithms
- Excellent algorithm and data structure skills
- Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.
Job responsibilities:
- Implementing Data Ingestion pipelines for Batch and streaming data at petabyte scale
- Experience in building and deploying machine learning / AI models in the cloud
- Run machine learning tests / experiments and perform statistical analysis and fine-tuning using test results
- To research, experiment with, and implement suitable ML algorithms and tools.
- Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs
- Optimize data delivery and re-design infrastructure for greater scalability
- Identify, design, and implement internal process improvements
Additional skills :
- Experience in Gen-AI and AWS sagemaker is a plus.
- Certified in Snowflake and AWS is a plus.
- Experience in Financial Domain is a plus.
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